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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
30-GEMMASCOPE-RES-16K
15292
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MODEL
30-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
key legal terminology and phrases related to judicial processes and evidence
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Preceding punctuation of a word
np_acts-logits-general · gemini-2.0-flash
No Scores
legal, scientific, or institutional terms followed by punctuation
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 30-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.30.hook_resid_post
Hook Layer
30
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gemma-2-9b/30-gemmascope-res-16k/15292?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-9b/30-gemmascope-res-16k/15292?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
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POSITIVE LOGITS
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0.78
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0.69
,”
0.67
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0.65
[],
0.63
`,
0.61
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0.60
...,
0.59
,"
0.59
],
0.59
Act
ivations
Density 1.620%
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